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Graph Attention Networks

Graph Attention Networks

30 October 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lió
Yoshua Bengio
    GNN
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Papers citing "Graph Attention Networks"

50 / 2,745 papers shown
Title
XGNN: Towards Model-Level Explanations of Graph Neural Networks
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Xia Hu
Shuiwang Ji
34
389
0
03 Jun 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
24
161
0
29 May 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Yaming Yang
Ziyu Guan
Jianxin Li
Wei Zhao
Jiangtao Cui
Quan Wang
GNN
24
171
0
27 May 2020
DAG-Net: Double Attentive Graph Neural Network for Trajectory
  Forecasting
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting
Alessio Monti
Alessia Bertugli
Simone Calderara
Rita Cucchiara
25
66
0
26 May 2020
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path
  Prediction
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction
Matías Mendieta
Hamed Tabkhi
22
17
0
26 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng
Jie Zhang
Yuxiao Dong
Yu Han
Huanbo Luan
Qian Xu
Qiang Yang
Evgeny Kharlamov
Jie Tang
26
387
0
22 May 2020
Customized Graph Neural Networks
Customized Graph Neural Networks
Yiqi Wang
Yao Ma
Wei Jin
Chaozhuo Li
Charu C. Aggarwal
Jiliang Tang
37
2
0
22 May 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Michihiro Yasunaga
Percy Liang
LRM
24
171
0
20 May 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Ying Li
Lingfei Ma
Zilong Zhong
Fei Liu
Dongpu Cao
Jonathan Li
M. Chapman
3DPC
44
390
0
20 May 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory
  Prediction
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu
Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
26
459
0
18 May 2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory
  Prediction
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction
Alessia Bertugli
Simone Calderara
Pasquale Coscia
Lamberto Ballan
Rita Cucchiara
31
28
0
17 May 2020
Graph Density-Aware Losses for Novel Compositions in Scene Graph
  Generation
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
Boris Knyazev
H. D. Vries
Cătălina Cangea
Graham W. Taylor
Aaron Courville
Eugene Belilovsky
27
56
0
17 May 2020
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured
  Webpages
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages
Colin Lockard
Prashant Shiralkar
Xin Luna Dong
Hannaneh Hajishirzi
18
53
0
14 May 2020
Reasoning with Latent Structure Refinement for Document-Level Relation
  Extraction
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Guoshun Nan
Zhijiang Guo
Ivan Sekulić
Wei Lu
39
273
0
13 May 2020
Response-Anticipated Memory for On-Demand Knowledge Integration in
  Response Generation
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
Zhiliang Tian
Wei Bi
Dongkyu Lee
Lanqing Xue
Yiping Song
Xiaojiang Liu
N. Zhang
27
25
0
13 May 2020
Neighborhood Matching Network for Entity Alignment
Neighborhood Matching Network for Entity Alignment
Yuting Wu
Xiao Liu
Yansong Feng
Zheng Wang
Dongyan Zhao
29
124
0
12 May 2020
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity
  Interactions
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Hanchen Wang
Defu Lian
Ying Zhang
Lu Qin
Xuemin Lin
GNN
24
81
0
12 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized
  Representation
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao
Chen Sun
Hang Zhao
Yi Shen
Dragomir Anguelov
Congcong Li
Cordelia Schmid
52
794
0
08 May 2020
Geometric graphs from data to aid classification tasks with graph
  convolutional networks
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
GNN
25
9
0
08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
285
0
07 May 2020
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Zhicheng Liu
Fabio Miranda
Weiting Xiong
Junyan Yang
Qiao Wang
Claudio T. Silva
AI4TS
25
70
0
04 May 2020
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven
  Cloze Reward
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Luyang Huang
Lingfei Wu
Lu Wang
RALM
32
161
0
03 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
30
2,652
0
02 May 2020
Alleviating the Inconsistency Problem of Applying Graph Neural Network
  to Fraud Detection
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Zhiwei Liu
Yingtong Dou
Philip S. Yu
Yutong Deng
Hao Peng
GNN
72
271
0
01 May 2020
A Span-based Linearization for Constituent Trees
A Span-based Linearization for Constituent Trees
Yang Wei
Yuanbin Wu
Man Lan
19
9
0
30 Apr 2020
Dynamic Language Binding in Relational Visual Reasoning
Dynamic Language Binding in Relational Visual Reasoning
T. Le
Vuong Le
Svetha Venkatesh
T. Tran
NAI
26
19
0
30 Apr 2020
Directed Graph Convolutional Network
Directed Graph Convolutional Network
Zekun Tong
Keli Zhang
Changsheng Sun
David S. Rosenblum
A. Lim
BDL
GNN
26
112
0
29 Apr 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs
Out-of-Sample Representation Learning for Multi-Relational Graphs
Marjan Albooyeh
Rishab Goel
Seyed Mehran Kazemi
OOD
18
3
0
28 Apr 2020
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Kai Wang
Weizhou Shen
Yunyi Yang
Xiaojun Quan
Rui-cang Wang
39
546
0
26 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations
A Perspective on Deep Learning for Molecular Modeling and Simulations
Jun Zhang
Yao-Kun Lei
Zhen Zhang
Junhan Chang
Maodong Li
Xu Han
Lijiang Yang
Yuqing Yang
Y. Gao
AI4CE
34
8
0
25 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Xia Hu
AAML
26
8
0
23 Apr 2020
Contextualised Graph Attention for Improved Relation Extraction
Contextualised Graph Attention for Improved Relation Extraction
Angrosh Mandya
Danushka Bollegala
Frans Coenen
GNN
20
6
0
22 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
28
7
0
21 Apr 2020
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network
Guanming Xiong
23
0
0
20 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lió
Petar Velickovic
GNN
27
651
0
12 Apr 2020
Hierarchical Opacity Propagation for Image Matting
Hierarchical Opacity Propagation for Image Matting
Yaoyi Li
Qin Xu
Hongtao Lu
24
13
0
07 Apr 2020
Optimistic Agent: Accurate Graph-Based Value Estimation for More
  Successful Visual Navigation
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation
M. Moghaddam
Qi Wu
Ehsan Abbasnejad
Javen Qinfeng Shi
20
4
0
07 Apr 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware
  Probabilistic Prediction
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
Yeping Hu
Wei Zhan
Masayoshi Tomizuka
26
36
0
07 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the
  Message-Passing Framework
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
24
38
0
06 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution
  Communication
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication
Jianyu Su
Stephen C. Adams
Peter A. Beling
18
26
0
01 Apr 2020
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds
  Semantic Segmentation
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang
Zixiang Zhou
P. David
Xiangyu Yue
Zerong Xi
Boqing Gong
H. Foroosh
3DPC
17
452
0
31 Mar 2020
DeepGS: Deep Representation Learning of Graphs and Sequences for
  Drug-Target Binding Affinity Prediction
DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction
Xuan Lin
41
55
0
31 Mar 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning
Gossip and Attend: Context-Sensitive Graph Representation Learning
Zekarias T. Kefato
Sarunas Girdzijauskas
16
7
0
30 Mar 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node
  Classification
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification
Negar Heidari
Alexandros Iosifidis
GNN
24
14
0
27 Mar 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural
  Networks
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
M. Balcilar
G. Renton
Pierre Héroux
Benoit Gaüzère
Sébastien Adam
P. Honeine
21
60
0
26 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and
  Analysis
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Chris Cummins
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Hugh Leather
88
56
0
23 Mar 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
160
226
0
23 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with
  geometric cues end-to-end
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
A. Nassar
Stefano Dáronco
Sébastien Lefèvre
Jan Dirk Wegner
ObjD
22
3
0
23 Mar 2020
Multi-Label Text Classification using Attention-based Graph Neural
  Network
Multi-Label Text Classification using Attention-based Graph Neural Network
Ankit Pal
M. Selvakumar
Malaikannan Sankarasubbu
29
80
0
22 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
Jingxin Liu
Chang Xu
Chang Yin
Weiqiang Wu
You Song
GNN
65
47
0
22 Mar 2020
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